- RTree3DFloat32.radial_basis_function(self: pyinterp.core.RTree3DFloat32, coordinates: numpy.ndarray[numpy.float32], radius: Optional[float], k: int = 9, rbf: pyinterp.core.RadialBasisFunction = <RadialBasisFunction.Multiquadric: 4>, epsilon: Optional[float] = None, smooth: float = 0, within: bool = True, num_threads: int = 0) tuple #
Interpolation of the value at the requested position by radial basis function interpolation.
coordinates – a matrix
nis the number of observations and 3 is the number of coordinates in order: longitude and latitude in degrees and altitude in meters. If the shape of the matrix is
(n, 2)then the method considers the altitude constant and equal to zero.
radius – The maximum radius of the search (m). Default to the largest value that can be represented on a float.
k – The number of nearest neighbors to be used for calculating the interpolated value. Defaults to
rbf – The radial basis function, based on the radius, r, given by the distance between points. Default to
epsilon – Adjustable constant for gaussian or multiquadrics functions. Default to the average distance between nodes.
smooth – Values greater than zero increase the smoothness of the approximation.
within – If true, the method ensures that the neighbors found are located around the point of interest. Defaults to
num_threads – The number of threads to use for the computation. If 0 all CPUs are used. If 1 is given, no parallel computing code is used at all, which is useful for debugging. Defaults to
The interpolated value and the number of neighbors used for the calculation.